C00ki3-M0nster 0.1.1

A tool for extracting and analyzing cookies and tokens from websites

Cookie_Monster

Cookie_Monster is a Python tool designed to capture and analyze session IDs, cookies, and web tokens from websites. It scans a provided URL to extract these details and performs basic analysis to identify potential vulnerabilities or types of tokens and cookies.

Features

• Extracts Cookies and Tokens: Retrieves cookies and tokens from HTTP headers and JavaScript embedded in the page.
• Basic Analysis: Identifies whether extracted cookies or tokens might be session-related or authentication-related.
• Command-Line Interface: Run the script from the command line with a single URL parameter.

Installation

1. Ensure you have Python installed on your machine.

2. Install the required Python packages using the following command:

   pip install -r requirements.txt
   

   Where requirements.txt should include the following:

   base65
   requests==2.28.2
   beautifulsoup4==4.12.2
   

Usage

Run the script from the command line by providing the URL you want to scan. Example usage:

python Cookie_Monster.py http://example.com

This file was created before packaging below is the commands to run as pypi:

pip install Cookie_Monster
'''

cookie-monster

### Arguments

- `<URL>`: The website URL to scan.

## Example Output

Here's an example of what the output might look like:

```plaintext
[*] Scanning website: http://example.com
[*] Cookie: session_id = abc123
Analyzing Cookie: session_id
[!] Cookie may be a session cookie.

[*] Token: auth_token = xyz789
Analyzing Token: auth_token
[!] Token may be an authentication token.

Analysis Details

• Cookies:

  • If the cookie name contains 'session', it might be a session cookie.
  • If the cookie name contains 'token', it might be a token.

• Tokens:

  • If the token name contains 'session', it might be a session token.
  • If the token name contains 'auth', it might be an authentication token.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

Built by DeadmanXXXII.